The podcast features a Q&A session with Chang Kim, Weilong Cui, Yingjie Gu, and Takshak Chahande, who address networking challenges related to moving storage systems to the back-end network and GPU fabric. They discuss the importance of network virtualization for cloud-based GPU networks, comparing multi-NIC solutions with NIC bonding approaches. The speakers also explore challenges in ensuring seamless upgrades of daemons, handling traffic distribution across flows, managing failure scenarios during checkpointing, and addressing the unique demands of ML workloads in cloud networks, including multi-tenancy considerations for IP address announcements.
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